Complexity Analysis of a Fast Directional Matrix-Vector Multiplication
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-67077-1_3
Reference17 articles.
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2. Bebendorf, M., Rjasanow, S.: Adaptive low-rank approximation of collocation matrices. Computing 70(1), 1–24 (2003). https://doi.org/10.1007/s00607-002-1469-6
3. Börm, S.: Directional $$\cal{H}^2$$-matrix compression for high-frequency problems. Numer. Linear. Algebra. Appl. 24(6), e2112 (2017). https://doi.org/10.1002/nla.2112
4. Börm, S., Börst, C.: Hybrid matrix compression for high-frequency problems. SIAM J. Matrix Anal. Appl. 41(4), 1704–1725 (2020). https://doi.org/10.1137/19M124280X
5. Börm, S., Melenk, J.M.: Approximation of the high-frequency Helmholtz kernel by nested directional interpolation: error analysis. Numer. Math. 137(1), 1–34 (2017). https://doi.org/10.1007/s00211-017-0873-y
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